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20212025
most citedEmotion Neural Transducer for Fine-Grained Speech Emotion Recognition

34 citations · 67 across the 5 of their papers we have counts for

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5 papers

cs.CV2025

Robust Dynamic Facial Expression Recognition

Feng Liu, Hanyang Wang, Siyuan Shen

The study of Dynamic Facial Expression Recognition (DFER) is a nascent field of research that involves the automated recognition of facial expressions in video data. Although exist…

cs.SD2024★ 34 cited

Emotion Neural Transducer for Fine-Grained Speech Emotion Recognition

Siyuan Shen, Yu Gao, Feng Liu +2

The mainstream paradigm of speech emotion recognition (SER) is identifying the single emotion label of the entire utterance. This line of works neglect the emotion dynamics at fine…

cs.CV2021★ 5 cited

LMR-CBT: Learning Modality-fused Representations with CB-Transformer for Multimodal Emotion Recognition from Unaligned Multimodal Sequences

Ziwang Fu, Feng Liu, Hanyang Wang +5

Learning modality-fused representations and processing unaligned multimodal sequences are meaningful and challenging in multimodal emotion recognition. Existing approaches use dire…

cs.CV2021★ 28 cited

A cross-modal fusion network based on self-attention and residual structure for multimodal emotion recognition

Ziwang Fu, Feng Liu, Hanyang Wang +4

The audio-video based multimodal emotion recognition has attracted a lot of attention due to its robust performance. Most of the existing methods focus on proposing different cross…

cs.CV2021

EvoGAN: An Evolutionary Computation Assisted GAN

Feng Liu, HanYang Wang, Jiahao Zhang +4

The image synthesis technique is relatively well established which can generate facial images that are indistinguishable even by human beings. However, all of these approaches uses…